Cargando…

A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation

Head injuries are often fatal or of sufficient severity to pedestrians in vehicle crashes. Finite element (FE) simulation provides an effective approach to understand pedestrian head injury mechanisms in vehicle crashes. However, studies of pedestrian head safety considering full human body response...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Guibing, Tan, Zheng, Lv, Xiaojiang, Ren, Lihai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6681603/
https://www.ncbi.nlm.nih.gov/pubmed/31428191
http://dx.doi.org/10.1155/2019/4930803
_version_ 1783441756602236928
author Li, Guibing
Tan, Zheng
Lv, Xiaojiang
Ren, Lihai
author_facet Li, Guibing
Tan, Zheng
Lv, Xiaojiang
Ren, Lihai
author_sort Li, Guibing
collection PubMed
description Head injuries are often fatal or of sufficient severity to pedestrians in vehicle crashes. Finite element (FE) simulation provides an effective approach to understand pedestrian head injury mechanisms in vehicle crashes. However, studies of pedestrian head safety considering full human body response and a broad range of impact scenarios are still scarce due to the long computing time of the current FE human body models in expensive simulations. Therefore, the purpose of this study is to develop and validate a computationally efficient FE pedestrian model for future studies of pedestrian head safety. Firstly, a FE pedestrian model with a relatively small number of elements (432,694 elements) was developed in the current study. This pedestrian model was then validated at both segment and full body levels against cadaver test data. The simulation results suggest that the responses of the knee, pelvis, thorax, and shoulder in the pedestrian model are generally within the boundaries of cadaver test corridors under lateral impact loading. The upper body (head, T1, and T8) trajectories show good agreements with the cadaver data in vehicle-to-pedestrian impact configuration. Overall, the FE pedestrian model developed in the current study could be useful as a valuable tool for a pedestrian head safety study.
format Online
Article
Text
id pubmed-6681603
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-66816032019-08-19 A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation Li, Guibing Tan, Zheng Lv, Xiaojiang Ren, Lihai Appl Bionics Biomech Research Article Head injuries are often fatal or of sufficient severity to pedestrians in vehicle crashes. Finite element (FE) simulation provides an effective approach to understand pedestrian head injury mechanisms in vehicle crashes. However, studies of pedestrian head safety considering full human body response and a broad range of impact scenarios are still scarce due to the long computing time of the current FE human body models in expensive simulations. Therefore, the purpose of this study is to develop and validate a computationally efficient FE pedestrian model for future studies of pedestrian head safety. Firstly, a FE pedestrian model with a relatively small number of elements (432,694 elements) was developed in the current study. This pedestrian model was then validated at both segment and full body levels against cadaver test data. The simulation results suggest that the responses of the knee, pelvis, thorax, and shoulder in the pedestrian model are generally within the boundaries of cadaver test corridors under lateral impact loading. The upper body (head, T1, and T8) trajectories show good agreements with the cadaver data in vehicle-to-pedestrian impact configuration. Overall, the FE pedestrian model developed in the current study could be useful as a valuable tool for a pedestrian head safety study. Hindawi 2019-07-24 /pmc/articles/PMC6681603/ /pubmed/31428191 http://dx.doi.org/10.1155/2019/4930803 Text en Copyright © 2019 Guibing Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Guibing
Tan, Zheng
Lv, Xiaojiang
Ren, Lihai
A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation
title A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation
title_full A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation
title_fullStr A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation
title_full_unstemmed A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation
title_short A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation
title_sort computationally efficient finite element pedestrian model for head safety: development and validation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6681603/
https://www.ncbi.nlm.nih.gov/pubmed/31428191
http://dx.doi.org/10.1155/2019/4930803
work_keys_str_mv AT liguibing acomputationallyefficientfiniteelementpedestrianmodelforheadsafetydevelopmentandvalidation
AT tanzheng acomputationallyefficientfiniteelementpedestrianmodelforheadsafetydevelopmentandvalidation
AT lvxiaojiang acomputationallyefficientfiniteelementpedestrianmodelforheadsafetydevelopmentandvalidation
AT renlihai acomputationallyefficientfiniteelementpedestrianmodelforheadsafetydevelopmentandvalidation
AT liguibing computationallyefficientfiniteelementpedestrianmodelforheadsafetydevelopmentandvalidation
AT tanzheng computationallyefficientfiniteelementpedestrianmodelforheadsafetydevelopmentandvalidation
AT lvxiaojiang computationallyefficientfiniteelementpedestrianmodelforheadsafetydevelopmentandvalidation
AT renlihai computationallyefficientfiniteelementpedestrianmodelforheadsafetydevelopmentandvalidation